Senior Data Integration Engineer
About The Position
The Senior Data Integration Engineer helps ensure dependable data movement between systems to support sound business decisions. The role works in a collaborative team environment, combining technical guidance with hands-on troubleshooting, and contributes to how data supports organizational outcomes. The position leads the design and ongoing refinement of data integration solutions, mentors team members, partners with business stakeholders to translate requirements into technical approaches, and monitors data pipeline reliability. It also contributes to planning and prioritization so technical delivery stays aligned with project schedules and objectives.
Requirements
- At least 3 years of applicable experience working on Data Warehouse initiatives.
- Experience designing, building, and maintaining data pipelines using Azure Data Factory.
- Experience delivering and integrating business intelligence solutions using Power BI.
- Demonstrated ability to continuously refine pipeline and transformation code to improve performance, scalability, and maintainability.
- Ability to understand business requirements for data initiatives and translate them into workable technical solutions.
- Experience with front-end tools such as Power BI, Azure Analysis Services (AAS), and Tabular Models.
- Working knowledge of management tools and approaches, including JIRA, Agile methodology, and ServiceNow.
- Practical experience with ETL tools, specifically Azure Data Factory and Azure Synapse.
- Strong command of query languages, including MS SQL Server and Oracle PL/SQL.
- Fluent English communication skills at B2 level or higher.
Nice To Haves
- Background working with Azure Synapse Analytics for data warehousing and analytics.
- Exposure to Salesforce Informatica, Snowflake, and dbt for data integration and transformation.
Responsibilities
- Direct the architecture and continuous refinement of data integration solutions to meet changing business needs.
- Mentor and guide team members, encouraging sound practices and dependable quality across data engineering efforts.
- Partner with business stakeholders to translate requirements into practical technical approaches.
- Monitor the reliability and stability of data pipelines and address issues before they affect downstream processes.
- Contribute to planning and prioritization, aligning technical delivery with project schedules and objectives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
